Job Title: Data Architect - Azure DevOps
Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise.
Skill-sets Required:
- Design Enterprise Data Models
- Azure Data Specialist
- Security and Risk
- GDPR and other compliance knowledge
- Scrum/Agile
Job Role:
- Design and implement effective database solutions and models to store and retrieve company data
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
Desired Candidate Profile:
- Bachelor’s degree in computer science, computer engineering, or relevant field.
- A minimum of 3 years’ experience in a similar role.
- Strong knowledge of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
- Excellent English communication and presentation skills, both verbal and written
- Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: NO BAR .
Shubham Vishwakarma
Full Stack Developer - Averlon
About Miracle Hub
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Contract Job: DevOps / Azure DevOps
Contract Term: Max 3-6 months
Looking For Immediate joiners only
Remote Opportunity
- CI/CD, deployment, environment management, and release support
- This can be a shared capability/position as well
PythonRequirements:
• Previously help a DevOps Engineer or System Engineer role
• 4+ years of production Linux system admin experience in high traffic environment
• 1+ years of experience with Amazon AWS and related services (instances, ELB,
EBS, S3, etc.) and abstractions on top of AWS.
• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and
security concerns.
• Experience in running Docker and Kubernetes clusters in production.
• Love automating mundane tasks and make developers life easy
• Must be able to code in, at a minimum, Python (or Ruby) and Bash.
• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT
• Agile software development best practices - continuous integration, releases,branches, etc.
• Experience with modern monitoring tools; capacity planning.
• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.
• Self-motivated, fast learner, detail-oriented, team player with a sense of humor
Experience in managing CI/CD using Jenkins.
Amazon Web Services (AWS)
MongoDBJob Title: AWS Devops Engineer – Manager Business solutions
Location: Gurgaon, India
Experience Required: 8-12 years
Industry: IT
We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.
· Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.
· Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.
· Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.
· Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.
· Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.
· Work closely with development teams to improve application reliability, scalability, and performance.
· Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.
· Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.
· Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.
Knowledge Skills and Abilities:
· 7+ years of hands-on AWS DevOps experience, especially with middleware services.
· Strong expertise in MongoDB Atlas or other cloud MongoDB services.
· Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.
· Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.
· Excellent scripting skills in Python, Bash, or PowerShell.
· Experience in containerization and orchestration: Docker, EKS, ECS.
· Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.
· Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.
· Ability to solve complex problems and thrive in a fast-paced environment.
Preferred Qualifications
· AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.
· MongoDB Certified DBA or Developer.
· Experience with serverless services like AWS Lambda, Step Functions.
· Exposure to multi-cloud or hybrid cloud environments.
Mail updated resume with current salary-
Email: jobs[at]glansolutions[dot]com
Satish; 88O 27 49 743
Google search: Glan management consultancy
Amazon Web Services (AWS)
Docker
KubernetesRoles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
Amazon Web Services (AWS)DockerKubernetes- At least 5 year of experience in Cloud technologies-AWS and Azure and developing.
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
DockerKubernetesAmazon Web Services (AWS)The candidate must have 2-3 years of experience in the domain. The responsibilities include:
● Deploying system on Linux-based environment using Docker
● Manage & maintain the production environment
● Deploy updates and fixes
● Provide Level 1 technical support
● Build tools to reduce occurrences of errors and improve customer experience
● Develop software to integrate with internal back-end systems
● Perform root cause analysis for production errors
● Investigate and resolve technical issues
● Develop scripts to automate visualization
● Design procedures for system troubleshooting and maintenance
● Experience working on Linux-based infrastructure
● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)
● Configuration and managing databases such as Mongo
● Excellent troubleshooting
● Experience of working with AWS/Azure/GCP
● Working knowledge of various tools, open-source technologies, and cloud services
● Awareness of critical concepts in DevOps and Agile principles
● Experience of CI/CD Pipeline
Amazon Web Services (AWS)
JenkinsKubernetesDocker
PostgreSQLAbout Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
KubernetesDockerAs part of the engineering team, you would be expected to have
deep technology expertise with a passion for building highly scalable products.
This is a unique opportunity where you can impact the lives of people across 150+
countries!
Responsibilities
• Develop Collaborate in large-scale systems design discussions.
• Deploying and maintaining in-house/customer systems ensuring high availability,
performance and optimal cost.
• Automate build pipelines. Ensuring right architecture for CI/CD
• Work with engineering leaders to ensure cloud security
• Develop standard operating procedures for various facets of Infrastructure
services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)
• Perform & automate regular backups of servers & databases. Ensure rollback and
restore capabilities are Realtime and with zero-downtime.
• Lead the entire DevOps charter for ONE Championship. Mentor other DevOps
engineers. Ensure industry standards are followed.
Requirements
• Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer
• B.E/B.Tech in CS or equivalent streams from institute of repute
• Experience in Azure is a must. AWS experience is a plus
• Experience in Kubernetes, Docker, and containers
• Proficiency in developing and deploying fully automated environments using
Puppet/Ansible and Terraform
• Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager,
Newrelic
• Good knowledge of source code control (git)
• Expertise in Continuous Integration and Continuous Deployment setup using Azure
Pipeline or Jenkins
• Strong experience in programming languages. Python is preferred
• Experience in scripting and unit testing
• Basic knowledge of SQL & NoSQL databases
• Strong Linux fundamentals
• Experience in SonarQube, Locust & Browserstack is a plus
JenkinsAmazon Web Services (AWS)PythonMust Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon